DocumentCode
2167004
Title
A research of listed companies´ financial early-warning system based on the Logistic Mode
Author
Zhang, Hengquan ; Min, Xiangbo
Author_Institution
Business School of Hohai University, Hohai University, Nanjing, China
fYear
2010
fDate
4-6 Dec. 2010
Firstpage
2543
Lastpage
2546
Abstract
In this paper, we first used principal component analysis to extract the main financial risks affecting the financial indicators based on spss17.0. And then construct the corporate Financial Early-warning Model through the use of Logistic Model. We selected a total of 60 companies as our sample of listed companies financial forecast Empirical Logistic model include 30 ST companies and 30 non-ST companies as comparison.
Keywords
Analytical models; Biological system modeling; Companies; Logistics; Mathematical model; Predictive models; Principal component analysis; Logistic regression model; financial early-warning system; principal component analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4244-7616-9
Type
conf
DOI
10.1109/ICISE.2010.5691980
Filename
5691980
Link To Document